NDLI: A generalized estimating equations approach for resting-state functional MRI group analysis

Content Provider	IEEE Xplore Digital Library
Author	D'Angelo, G.M. Lazar, N.A. Eddy, W.F. Morris, J.C. Sheline, Y.I.
Copyright Year	2011
Description	Author affiliation: Department of Neurology, Washington University School of Medicine, St. Louis, MO 63130 USA (Morris, J.C.) \|\| Department of Statistics, The University of Georgia, Athens, GA 30602 USA (Lazar, N.A.) \|\| Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63130 USA (Sheline, Y.I.) \|\| Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213 USA (Eddy, W.F.) \|\| Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63130 USA (D'Angelo, G.M.)
Abstract	An Alzheimer's fMRI study has motivated us to evaluate inter-regional correlations between groups. The overall objective is to assess inter-regional correlations at a resting-state with no stimulus or task. We propose using a generalized estimating equation (GEE) transition model and a GEE marginal model to model the within-subject correlation for each region. Residuals calculated from the GEE models are used to correlate brain regions and assess between group differences. The standard pooling approach of group averages of the Fisher-z transformation assuming temporal independence is a typical approach used to compare group correlations. The GEE approaches and standard Fisher-z pooling approach are demonstrated with an Alzheimer's disease (AD) connectivity study in a population of AD subjects and healthy control subjects. We also compare these methods using simulation studies and show that the transition model may have better statistical properties.
Starting Page	5064
Ending Page	5067
File Size	449210
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6091254
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Brain modeling Mathematical model Hippocampus Educational institutions Data models Equations
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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